![]() ![]() ![]() The improvements to the representation of text with models like BERT from Google and the OpenAI’s GPT are the talk of the town in computational linguistics since they beat a benchmark for natural language understanding faster than predicted. Researchers and developers within the public and private sectors have been making strides in this space, and especially so in the past year. Text mining techniques have become critical for social scientists working with large scale social data, be it Twitter collections to track polarization, party documents to understand opinions and ideology, or news corpora to study the spread of misinformation. Text Mining | The ecosystem of technologies for social science research Text Mining The ecosystem of tools for social science research View on GitHub Explore sections Get full list Text Miningįrom preprocessing to text analysis: 80 tools for mining unstructured data ![]()
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January 2023
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